Triple

T18792037
Position Surface form Disambiguated ID Type / Status
Subject Troy campus E459537 entity
Predicate hasFacility P105 FINISHED
Object Materials Research Center — NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Materials Research Center | Statement: [Troy campus, hasFacility, Materials Research Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Materials Research Center
Context triple: [Troy campus, hasFacility, Materials Research Center]
  • A. Center for Materials Research
    The Center for Materials Research is a research institute at the Naval Postgraduate School focused on advancing the science and engineering of materials for defense and related applications.
  • B. Institute for Materials Research
    The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
  • C. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is a specialized research and academic unit at Hanoi University of Science and Technology focused on advanced materials, their properties, and engineering applications.
  • D. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is an academic and research unit at EPFL focused on the study, development, and engineering of advanced materials and their applications.
  • E. Centre for Materials Science and Nanotechnology
    The Centre for Materials Science and Nanotechnology is a research and education institute focused on advanced materials, nanoscience, and nanotechnology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Materials Research Center
Target entity description: The Materials Research Center is a specialized facility dedicated to advanced materials science and engineering research and experimentation.
  • A. Center for Materials Research
    The Center for Materials Research is a research institute at the Naval Postgraduate School focused on advancing the science and engineering of materials for defense and related applications.
  • B. Institute for Materials Research
    The Institute for Materials Research is a leading Japanese research center at Tohoku University specializing in advanced materials science and engineering.
  • C. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is a specialized research and academic unit at Hanoi University of Science and Technology focused on advanced materials, their properties, and engineering applications.
  • D. Institute of Materials Science and Engineering
    The Institute of Materials Science and Engineering is an academic and research unit at EPFL focused on the study, development, and engineering of advanced materials and their applications.
  • E. Centre for Materials Science and Nanotechnology
    The Centre for Materials Science and Nanotechnology is a research and education institute focused on advanced materials, nanoscience, and nanotechnology.
  • F. None of above. chosen

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978665388190aaefed0ec30a1ff3 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.